R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(82.7,88.9,105.9,100.8,94,105,58.5,87.6,113.1,112.5,89.6,74.5,82.7,90.1,109.4,96,89.2,109.1,49.1,92.9,107.7,103.5,91.1,79.8,71.9,82.9,90.1,100.7,90.7,108.8,44.1,93.6,107.4,96.5,93.6,76.5,76.7,84.0,103.3,88.5,99.0,105.9,44.7,94.0,107.1,104.8,102.5,77.7,85.2,91.3,106.5,92.4,97.5,107,51.1,98.6,102.2,114.3,99.4,72.5,92.3,99.4,85.9,109.4,97.6)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Mean Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 65
> (np <- floor(n / par1))
[1] 5
> arr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ if (j == par1) j = 0
+ }
> ari
 [1] 6 6 6 6 6 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 [1,]  82.7  82.7  71.9  76.7  85.2  92.3
 [2,]  88.9  90.1  82.9  84.0  91.3  99.4
 [3,] 105.9 109.4  90.1 103.3 106.5  85.9
 [4,] 100.8  96.0 100.7  88.5  92.4 109.4
 [5,]  94.0  89.2  90.7  99.0  97.5  97.6
 [6,] 105.0 109.1 108.8 105.9 107.0    NA
 [7,]  58.5  49.1  44.1  44.7  51.1    NA
 [8,]  87.6  92.9  93.6  94.0  98.6    NA
 [9,] 113.1 107.7 107.4 107.1 102.2    NA
[10,] 112.5 103.5  96.5 104.8 114.3    NA
[11,]  89.6  91.1  93.6 102.5  99.4    NA
[12,]  74.5  79.8  76.5  77.7  72.5    NA
> arr.mean <- array(NA,dim=par1)
> arr.median <- array(NA,dim=par1)
> arr.midrange <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
+ arr.median[j] <- median(arr[j,],na.rm=TRUE)
+ arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
+ }
> overall.mean <- mean(x)
> overall.median <- median(x)
> overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
> postscript(file="/var/www/html/rcomp/tmp/1dbxb1226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.mean,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2i8f91226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.median,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3m4mj1226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.midrange,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4g90j1226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(arr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
$stats
     [,1] [,2]  [,3]   [,4]  [,5]  [,6] [,7] [,8]  [,9] [,10] [,11] [,12]
[1,] 71.9 82.9  85.9  88.50 89.20 105.0 44.1 92.9 107.1  96.5  89.6  72.5
[2,] 76.7 84.0  90.1  92.40 90.70 105.9 44.7 92.9 107.1 103.5  91.1  74.5
[3,] 82.7 89.5 104.6  98.35 95.75 107.0 49.1 93.6 107.4 104.8  93.6  76.5
[4,] 85.2 91.3 106.5 100.80 97.60 108.8 51.1 94.0 107.7 112.5  99.4  77.7
[5,] 92.3 99.4 109.4 109.40 99.00 109.1 58.5 94.0 107.7 114.3 102.5  79.8

$n
 [1] 6 6 6 6 6 5 5 5 5 5 5 5

$conf
         [,1]     [,2]      [,3]      [,4]      [,5]     [,6]     [,7]     [,8]
[1,] 77.21723 84.79126  94.02147  92.93173  91.29928 104.9509 44.57778 92.82274
[2,] 88.18277 94.20874 115.17853 103.76827 100.20072 109.0491 53.62222 94.37726
         [,9]     [,10]    [,11]    [,12]
[1,] 106.9760  98.44062 87.73524 74.23889
[2,] 107.8240 111.15938 99.46476 78.76111

$out
[1]  87.6  98.6 113.1 102.2

$group
[1] 8 8 9 9

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12"

Warning message:
In bxp(list(stats = c(71.9, 76.7, 82.7, 85.2, 92.3, 82.9, 84, 89.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5s1l61226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(arr)
> names(z) <- c(1:np)
> (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
$stats
       [,1]   [,2]   [,3]   [,4]   [,5]  [,6]
[1,]  58.50  79.80  71.90  76.70  72.50  85.9
[2,]  85.15  85.95  79.70  80.85  88.25  92.3
[3,]  91.80  92.00  92.15  96.50  98.05  97.6
[4,] 105.45 105.60  98.60 104.05 104.35  99.4
[5,] 113.10 109.40 108.80 107.10 114.30 109.4

$n
[1] 12 12 12 12 12  5

$conf
          [,1]     [,2]      [,3]      [,4]      [,5]      [,6]
[1,]  82.54103  83.0375  83.52958  85.91832  90.70668  92.58316
[2,] 101.05897 100.9625 100.77042 107.08168 105.39332 102.61684

$out
[1] 49.1 44.1 44.7 51.1

$group
[1] 2 3 4 5

$names
[1] "1" "2" "3" "4" "5" NA 

Warning message:
In bxp(list(stats = c(58.5, 85.15, 91.8, 105.45, 113.1, 79.8, 85.95,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6vb8h1226087082.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
> names(z) <- list('mean','median','midrange')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
$stats
          [,1]    [,2]     [,3]
[1,]  76.20000  76.500  76.1000
[2,]  85.67500  86.100  84.7500
[3,]  94.95333  94.675  94.9000
[4,] 103.25167 104.700 103.6125
[5,] 107.50000 107.400 108.0000

$n
[1] 12 12 12

$conf
         [,1]      [,2]      [,3]
[1,]  86.9365  86.19142  86.29669
[2,] 102.9702 103.15858 103.50331

$out
[1] 49.5 49.1 47.9

$group
[1] 1 2 3

$names
[1] "mean"     "median"   "midrange"

> dev.off()
null device 
          1 
> 
> system("convert tmp/1dbxb1226087082.ps tmp/1dbxb1226087082.png")
> system("convert tmp/2i8f91226087082.ps tmp/2i8f91226087082.png")
> system("convert tmp/3m4mj1226087082.ps tmp/3m4mj1226087082.png")
> system("convert tmp/4g90j1226087082.ps tmp/4g90j1226087082.png")
> system("convert tmp/5s1l61226087082.ps tmp/5s1l61226087082.png")
> system("convert tmp/6vb8h1226087082.ps tmp/6vb8h1226087082.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.279   0.823   1.540